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BMCBI
2004
114views more  BMCBI 2004»
13 years 7 months ago
HMM Logos for visualization of protein families
Background: Profile Hidden Markov Models (pHMMs) are a widely used tool for protein family research. Up to now, however, there exists no method to visualize all of their central a...
Benjamin Schuster-Böckler, Jörg Schultz,...
BMCBI
2002
108views more  BMCBI 2002»
13 years 7 months ago
A memory-efficient dynamic programming algorithm for optimal alignment of a sequence to an RNA secondary structure
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
Sean R. Eddy
TCS
1998
13 years 7 months ago
Dynamical Recognizers: Real-Time Language Recognition by Analog Computers
We consider a model of analog computation which can recognize various languages in real time. We encode an input word as a point in Rd by composing iterated maps, and then apply i...
Cristopher Moore
FLAIRS
2009
13 years 5 months ago
Analyzing Team Actions with Cascading HMM
While team action recognition has a relatively extended literature, less attention has been given to the detailed realtime analysis of the internal structure of the team actions. ...
Brandyn Allen White, Nate Blaylock, Ladislau B&oum...
BMCBI
2010
123views more  BMCBI 2010»
13 years 2 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke